Table 2.8: Birthplace groups with highest proportion aged 65+ years, by States/ Territories (per cent)
ACT
|
NSW
|
NT
|
Qld
|
SA
|
Tas
|
Vic
|
WA
|
Scotland (21.6)
|
Poland (38.7)
|
India (9.5)
|
Italy (37.6)
|
Hungary (38)
|
Scotland (27.6)
|
Czechoslovakia (39.7)
|
Greece (29.5)
|
Italy (23.5)
|
Hungary (38.8)
|
Netherlands (9.9)
|
Poland (41.5)
|
Russia (48.3)
|
Wales (27.9)
|
Poland (40.8)
|
Poland (31.7)
|
Netherlands (23.5)
|
Ukraine (53.2)
|
Ireland (11.6)
|
Russia (57.3)
|
Lithuania (69.6)
|
Germany (29)
|
Ukraine (49.2)
|
Italy (33.5)
|
Poland (28.9)
|
Lithuania (60.2)
|
Italy (19.1)
|
Latvia (62.5)
|
Latvia (69.6)
|
Italy (35)
|
Latvia (63.5)
|
Latvia (66)
|
Hungary (30.5)
|
Latvia (61.9)
|
China (20.4)
|
Ukraine (66.1)
|
Ukraine (69.8)
|
Poland (54.6)
|
Lithuania (63.7)
|
Ukraine (75.2)
|
Australia-born 5.5
|
11.9
|
2.6
|
10.1
|
11.7
|
11.4
|
10.9
|
8.3
|
Overseas-born 13
|
14.7
|
6.4
|
15.2
|
21.4
|
22.1
|
16.9
|
15.1
|
Table 2.9: Proportion of birthplace groups who speak English not well or not at all, by States/ Territories (per cent)
ACT
|
NSW
|
NT
|
Qld
|
SA
|
Tas
|
Vic
|
WA
|
Serbia-Montenegro (21.3)
|
Laos (36.5)
|
Thailand (20.4)
|
Laos (38.2)
|
Greece (32.3)
|
Italy (11)
|
Ukraine (35.9)
|
Vietnam (42)
|
Korea (23.8) Korea (39.1) Indonesia (28.3) Bosnia-Herzegovina (38.5) Bosnia-Herzegovina (40.5) Poland (14.6) Bosnia-Herzegovina (36.8) China (43.3)
|
Vietnam (28.5)
|
Vietnam (44.5)
|
Greece (32.9)
|
Vietnam (42.2)
|
China (40.8)
|
Hong Kong (17.8)
|
China (43.9)
|
Iraq (43.6)
|
China (31)
|
China (46.2)
|
Vietnam (36.1)
|
Cambodia (54.8)
|
Vietnam (41.8)
|
Greece (19.2)
|
Vietnam (45.6)
|
Singapore (47.3)
|
Bosnia-Herzegovina (36.6)
|
Cambodia (49.4)
|
China (45.6)
|
Yugoslavia (57)
|
Cambodia (47.1)
|
China (28.4)
|
Cambodia (47.8)
|
Cambodia (51.5)
|
Australia-born 0.5
|
0.8
|
7.3
|
0.3
|
0.5
|
0.1
|
0.8
|
0.6
|
Overseas-born 7.2
|
13.8
|
6.9
|
5.4
|
8.8
|
3.1
|
15
|
5.7
|
Source: Atlas of the Australian People (1999).
Note: (a) Migrants from the UK and most other places in the British Commonwealth predictably experience few problems with English; thus the “lowest” category has been omitted from this table.
16 SOCIAL COSTS AND BENEFITS OF
MIGRATION INTO AUSTRALIA
As can be seen, new and emerging migrant groups (for example those born in Cambodia, China and Viet Nam) but also some long established ones (for example persons from Greece) have the highest proportions of poor English speakers. The proportion of these birthplace groups with English language difficulties is much lower in Tasmania and, to a lesser extent, in the ACT and NT. Elsewhere, few geographical variations are apparent at the State level although other facets of this research identified locations within regions where costs associated with migrant language problems for both individuals and the wider community appear significant.
Social capital includes not just linkages between migrants and the host community; it also includes intra-migrant community links. There is minimal data available to measure such links although the community studies conducted for this project provide valuable data on this aspect of social capital. Some indication of the balance of a community can however be derived from an examination of the sex ratio. An unbalanced sex ratio (many more males or females) can suggest social strain or difficulties. This might apply, for example, within emerging ethnic groups where different roles are traditionally assumed by different genders. For example, cooking and housekeeping might not be living strategies understood or acceptable to some male immigrants and thus single men could find themselves severely disadvantaged in their day-to-day living. Similarly, the size of the second generation of migrant groups can provide an indication of the support network available to migrants.
Geographical variations in the sex ratio are explored in Table 2.10. This shows considerable imbalance for some birthplace groups in all States and Territories. The most female dominated group is the Philippines-born. The Thailand-born and Japanese migrant groups are also strongly female dominant. No simple pattern is apparent for male dominated groups in that no fewer than 24 countries are mentioned in the highest ranked birthplace groups in Table 2.10. The most male dominated profiles tend to be among refugee groups from the world’s trouble spots (for example the Balkans and the Middle East). It is also interesting that Tasmania and the NT have more extreme levels of male domination than other States and Territories.
CHAPTER 2: SETTLEMENT PATTERNS AND EXPERIENCES
Table 2.9: Sex ratio of birthplace groups by States/Territories (males: 100 females)
ACT NSW NT Qld SA Tas Vic WA
Lowest
Philippines (48.3)
|
Philippines (63.7)
|
Thailand (36.3)
|
Philippines (33)
|
Philippines (39.3)
|
Philippines (19.8)
|
Philippines (56.6)
|
Philippines (35.2)
|
Japan (61.7)
|
Thailand (65.6)
|
Philippines (41.5)
|
Thailand (50.1)
|
Japan (56.7)
|
Fiji (69.7)
|
Japan (67.1)
|
Thailand (45.6)
|
Thailand (66.5)
|
Japan (66.7)
|
China (72.5)
|
Japan (65.3)
|
Korea (61.8)
|
Papua New Guinea (80)
|
Thailand (69.2)
|
Japan (60.2)
|
Korea (81)
|
Russia (68.4)
|
Malaysia (79.6)
|
Russia (67.3)
|
Russia (66.5)
|
China (84.3)
|
Finland (77.7)
|
Taiwan (65.9)
|
Poland (83.9)
|
Peru (74.6)
|
Papua New Guine
|
a (81.8) Chile (84.9)
|
Fiji (81.9)
|
Singapore (85)
|
Russia (78)
|
Korea (80.9)
|
Highest
France (110.0) Macedonia (111.9)
|
Switzerland (122.6) Czech Republic (125.3)
|
Netherlands (127.8) Ireland (128.3)
|
Austria (129.9) Czechoslovakia (134.7)
|
Croatia (118.7) Slovenia (119.2)
|
Northern Ireland (117.3) Greece (127.1)
|
Switzerland (116) Iran (117.6)
|
Switzerland (122.5) USA (122.7)
|
Lebanon (116.2)
|
Denmark (133)
|
Germany (147.5)
|
Croatia (136.4)
|
Czechoslovakia (119.4)
|
Austria (147.7)
|
Somalia (120.5)
|
Turkey (124)
|
Italy (119.6)
|
West Bank-Gaza Strip (145.9)
|
Greece (156.1)
|
Czech Republic (137.9)
|
Czech Republic (126.3)
|
Italy (149.1)
|
Pakistan (133.5)
|
Iran (126.3)
|
Serbia-Montenegro (121.2)
|
Bangladesh (150.2)
|
Italy (201)
|
Hungary (146.3)
|
Hungary (126.4)
|
Yugoslavia (184.3)
|
Iraq (144.8)
|
Iraq (170.1)
|
Australia-born 97.9
|
97
|
107.3
|
98.7
|
96.7
|
96.3
|
96.1
|
99.5
|
Overseas-born 97.4
|
100.1
|
104.8
|
102.6
|
98.1
|
102.3
|
101
|
99.9
|
Source: Atlas of the Australian People (1999).
The figures represent the male population divided by the female population.
Table 2.10: Size of the first generation relative to the second generation by States/ Territories
ACT NSW NT Qld SA TAS Vic WA
Lowest
Netherlands (0.5) Malta (0.5)
|
Scotland (0.5) Ireland (0.6)
|
Netherlands (0.5) Italy (0.5)
|
Ireland (0.4) Malta (0.4)
|
Ireland (0.6) Malta (0.6)
|
Ireland (0.4) Netherlands (0.6)
|
Ireland (0.5) Scotland (0.6)
|
Malta (0.5) Greece (0.6)
|
Scotland (0.6)
|
Netherlands (0.6)
|
Ireland (0.5)
|
Scotland (0.5)
|
Netherlands (0.7)
|
Italy (0.6)
|
Netherlands (0.6)
|
Netherlands (0.6)
|
Italy (0.6)
|
Malta (0.6)
|
Scotland 90.5)
|
Greece (0.5)
|
Italy (0.7)
|
Scotland (0.6)
|
England (0.7)
|
Italy (0.6)
|
|
Wales (0.7)
|
England (0.7)
|
Italy (0.5)
|
Scotland (0.7)
|
Greece (0.6)
|
Malta (0.7)
|
Ukraine (0.7)
|
Highest
|
Sri Lanka (2.9)
|
Afghanistan (4.8)
|
Sri Lanka (2.2)
|
Japan (3.4)
|
Bosnia-Herzegovina (4.7)
|
Philippines (1.7)
|
Afghanistan (5.1)
|
Bosnia-Herzegovina (5.8)
|
Thailand (3)
|
Bangladesh (5.7)
|
USA (2.4)
|
Bosnia-Herzegovina (5.1)
|
Thailand (6)
|
Malaysia (1.9)
|
Somalia (5.2)
|
Brunei (5.9)
|
Vietnam (3.4)
|
Korea (6.7)
|
Thailand (2.6)
|
El Salvador (6.3)
|
Iran (6.3)
|
Hong Kong 1.9)
|
Korea (6)
|
Korea (6)
|
Korea (6.4)
|
Taiwan (9.2)
|
Vietnam (2.8)
|
Korea (11.8)
|
El Salvador (9.4)
|
Singapore (2)
|
Taiwan (7.1)
|
El Salvador (7.3)
|
|
Sri Lanka (36.8)
|
Indonesia (17.3)
|
Taiwan (16.9)
|
Korea (11)
|
Papua New Guinea (2)
|
Bangladesh (8.9)
|
Taiwan (9)
|
Source: Atlas of the Australian People (1999). The figures indicate the size of the first generation divided by the size of the second generation.
18 SOCIAL COSTS AND BENEFITS OF
MIGRATION INTO AUSTRALIA
The size of the first generation of each overseas birthplace group relative to its second generation is presented in Table 2.11. This provides a measure of the extent of ‘the migrant community’, not just numbers born overseas, hence indicating the extent to which individuals might be able to draw on compatible ethnic resources in coping with challenges of life in Australia. Thus a low score in Table 2.11 indicates a group where the second generation is comparatively large and where there are potentially many resources upon which to draw. Conversely, a high score indicates a situation where migrants have relatively limited resources within their own ethnic community in Australia. This is obviously the situation with emerging migrant communities, those arriving in relatively substantial numbers from areas with no prior history of major migration flows to Australia. Clearly, the differences in size between generations are relatively low in Tasmania, the ACT and the NT (with the exception of the Indonesia-born). In NSW and Victoria, the first generation is relatively large, compared to the second generation, for those born in Afghanistan, Bangladesh, Korea and Taiwan but elsewhere no clear pattern is discernable.
Table 2.11: Settler Arrivals by State/Territory, 2002-03 to 2005-06
2002-03 2003-04 2004-05 2005-06
Number % Number % Number % Number %
NSW
|
30 631
|
40.1
|
34 375
|
37.5
|
37 900
|
38.0
|
38 168
|
35.8
|
Vic
|
19 793
|
25.9
|
24 376
|
26.6
|
26 389
|
26.5
|
27 826
|
26.1
|
Qld
|
9633
|
12.6
|
12 344
|
13.5
|
12 962
|
13.0
|
14 059
|
13.2
|
SA
|
3282
|
4.3
|
4 373
|
4.8
|
5874
|
5.9
|
8571
|
8.0
|
WA
|
11 064
|
14.5
|
13 980
|
15.3
|
14 181
|
14.2
|
15 210
|
14.3
|
Tas
|
675
|
0.9
|
762
|
0.8
|
823
|
0.8
|
776
|
0.7
|
NT
|
428
|
0.6
|
494
|
0.5
|
516
|
0.5
|
655
|
0.6
|
ACT
|
806
|
1.1
|
912
|
1.0
|
1065
|
1.1
|
1226
|
1.2
|
Other 5 0.0 3 0.0 2 0.0 4 0.0
Australia 76 317 100 91 619 100 99 712 100 106 495 100
Source: DIMA Immigration Updates 2002-03 to 2005-06
2.3 Dispersal of recently arrived migrants by States and
Territories
New South Wales has been the most preferred state for settlement by persons arriving in Australia under migration Programmes. In 2005-06, over one third (35.8%) intended to settle in that state (Table 2.12). Although the proportions intending to settle there have declined in recent years (down from 40.1% in
2002-03), the actual number has steadily increased due to the overall increases in number of new migrants arriving. In fact, numbers of new migrants initially settling in all States and Territories have increased in each of the last three years with the exception of Tasmania which attracts a comparatively very small
share of new migrants – less than one per cent. Victoria has proved to be the next most popular destination after New South Wales (26.1% in 2005-06), followed by Western Australia (14.3%) and Queensland (13.2%).
Proportions for the different types of eligible visa categories for 2005-06 and the
States and Territories in which they initially chose to settle, are shown in Table
2.13. In terms of total number of entrants, independent skilled migrants comprised the largest single eligible category followed closely by family sponsored migrants. Almost 60 per cent of migrant settler arrivals were classified as skilled.
Table 2.12: Visa categories of entrants 2005-06 by States/Territories 5
NSW
|
Vic
|
Qld
|
SA
|
WA
|
Tas
|
NT
|
ACT
|
Australia
|
Eligibility Category % No.
|
Sponsored
|
31.4
|
32.2
|
13.2
|
4.0
|
17.1
|
0.2
|
0.4
|
1.5
|
15 494
|
ENS
|
25.8
|
12.6
|
19.1
|
15.7
|
19.5
|
2.5
|
2.5
|
2.6
|
3092
|
Business
|
21.8
|
29.1
|
14.4
|
14.3
|
18.4
|
0.8
|
0.2
|
1.1
|
4288
|
Independent 32.8 23.3 13.2 11.7 17.5 0.5 0.4 0.6 36 633 Skilled Total 59 507
Family 43.8 26.5 13.0 4.3 9.7 0.7 0.7 1.4 34 771
Special eligibility 33.7 22.1 14.4 9.6 18.3 1.9 - - 104
Humanitarian
35.2 28.3 11.8 8.8 11.3 1.7 1.3 1.6 12 113
26.1
|
13.2
|
8.0
|
14.3
|
0.7
|
0.6
|
1.2
|
106 495
|
Programme
Total 35.8
Source: DI MA 2006g
New South Wales and Victoria together took a majority share of Humanita rian Programme and Spe cial Eligi bility entrants (a combined total of around 56% for both types of visas). With respect to o ther states, sim ilar proportions plann ed to settle in Queensland (13.2%) and Weste rn Australia (11.3%). Locat ion of settlement of persons entering under the Humanitarian Programme obviously has impli cations for the nature of the demand for social services, a recurr ing issue raised in focus groups as a perceived major cost to Australia.
In terms of family-related visas (where relatives might be expected to help in the adjustment process for new arrivals), New South Wales again had the largest share followed by Victoria. In fact, for most visa types, these two states were, not surprisingly, the stand-out destinations. By contrast, migrants entering under the Employer Nomination Scheme (ENS) were more evenly spread with Victoria ranked as the fifth receiver state behind New South Wales, Western Australia, Queensland and South Australia. Demand in Western
5 Exc lud ing p erso ns enteri ng throu gh non- pro gram migration a nd onshore migrants.
Australia and Queensland for employees associated with resources industries might be one reason for this more regular dispersal.
2.4 Migrants’ synoptic view of the settlement experience
(LSIA)
The social impact of immigration on the migrants themselves is clearly both significant and complex. One way of taking account of this complexity is to examine migrants’ own synoptic assessment of whether the decision to migrate was right and whether they would encourage others to migrate. Responses to both these questions can be seen as a ‘global’ assessment of the success or otherwise of the migration. (A more complex logistic regression analysis of the data is provided in Appendix 2A).
Migrants, both primary applicants and spouses, present an overwhelmingly positive view of their migration decision (Table 2.14). LSIA 2 respondents were marginally more positive than those in LSIA 1. In short, approximately 90 per cent of all survey respondents said that their decision to migrate was right for them. This implies no major adverse social consequences of migration and that, for affected individuals, the process is overwhelmingly positive. Interestingly, the positive view of migration extended across all visa categories (Table 2.15). From LSIA 1, the highest satisfaction rating was for entrants under humanitarian visas. The equivalent visa entrants in LSIA 2 exhibited similarly high levels of satisfaction but in this case business migrants, skilled workers and prospective spouses matched them. This across-the-board rating of migration as ‘right’ is encouraging and reinforces the fact that, from a migrant’s perspective, the benefits of migration far outweigh the costs – a view widely expressed in the focus groups as well.
Table 2.13: Migrants viewing the migration decision as right (per cent)
Wave
Primary
Applicant Spouse
LSIA 1
|
1
|
91
|
89
|
|
2
|
91
|
87
|
|
3
|
92
|
84
|
LSIA 2
|
1
|
95
|
89
|
|
2
|
92
|
89
|
Source: LSIA
Table 2.14: Views of different visa categories on the decision to migrate being right
Visa Category
LSIA 1 (Wave 3)
Per cent responding
‘yes’
Preferential Family 91
Concessional Family 89
Business Skills and Employer
Nomination 91
Independent 91
Humanitarian 96
LSIA 2 (Wave 2)
Spouse 94
Prospective spouse 96
Parent 92
Other preferential 97
Skilled – sponsor 94
Skilled – employee nominated 96
Business 100
Skilled – independent 96
Refugee 98
Special humanitarian 98
Source: LSIA
The overwhelmingly positi ve a ssessment of migrat ion being ‘right’ for the people in volved tran slates into a predispo sition to en courage others to migrate (Table 2.16). However, the proportion of LSIA 1 responden ts that felt inclined to encourage others to migrate declined over time. The de cline was most marked in the case of spouses of primary mig rants (73% to 62% from Wave 1 to W ave
3). The decline in the proportion which would encourage others to migrate, and the fact that these proportions are in any case lower than those who regarded migration as ‘right’ for themselves, might reflect the reality of migration and adjustment to a new land.
Table 2.15: Migrants who would encourage others to migrate (per cent)
LSIA 1
Primary applicant
Spouse
Wave 1 72 73
Wave 2 67 69
Wave 3 66 62
LSIA 2
Wave 1
|
75
|
79
|
Wave 2
|
80
|
80
|
Source: LSIA
The results also imply recognition of the fact that migration is an individual decision: although satisfied themselves, respondents might be reluctant to encourage others, realising that much depends on individual experiences and coping strategies. The predisposition to encourage others to migrate is more evident from LSIA 2 than in LSIA 1 results. Moreover, this increased during the one-year interval between Waves 1 and 2 to the point where four out of five would encourage others to migrate. This might suggest that the experiences of the second cohort were more positive than those of the first, notwithstanding the fact that all waves showed a very positive view.
Differences were evident between different visa categories in the extent to which migrants would encourage others to migrate (Table 2.17). For LSIA 1, those most inclined to encourage others to migrate were in the group who had entered on humanitarian visas. This group displayed levels that were 25 per cent higher than for other visa categories among which there was minimal difference. This response from humanitarian entrants is perhaps understandable because such migrants are fleeing persecution and hardship.
Table 2.16: Views of different visa categories on encouraging others to migrate
Visa category Per cent responding
‘yes’
LSIA 1 (Wave 3)
Preferential Family 63
Concessional Family 66
Business 62
Independent 63
Humanitarian 81
LSIA 2 (Wave 2)
|
Spouse
|
74
|
Prospective spouse
|
72
|
Parent
|
63
|
Other preferential
|
81
|
Skilled – sponsor
|
85
|
Skilled – employee nominated
|
82
|
Business
|
89
|
Skilled – independent
|
86
|
Refugee
|
87
|
Special humanitarian
|
86
|
Source: LSIA
|
|
|
Slightly higher levels of encouragement of others to migrate were evident among refugee and humanitarian entrants in LSIA 2. However, in this case, business and skilled migrants matched the level of encouragement. From the perspective of the host society, this increased level of encouragement is satisfying and suggests a widening recognition, on the part of migrants, that
benefits of migration outweighed costs. It also reflected the fact that migrants in
LSIA 2 enjoyed significantly better labour market outcomes compared to LSIA
1. The groups in LSIA 2 least likely to encourage others to migrate were parents, prospective spouses and spouses but, even here, levels of encouragement were much higher than for any group in LSIA 1 excluding humanitarian entrants.
2.5 Conclusions
This chapter has provided a brief introduction to the composition of the population and distribution patterns of migrant groups within Australia. Dominant birthplace groups of new settlers each year are now countries in the Asian regions: they were the source for around 40 per cent of new arrivals in most recent years (about 50% when non-migration settlers such as New Zealanders are discounted). These features, together with the range of source countries, illustrate the multicultural nature of Australia’s population.
Of course, patterns and characteristics of migrant population settlement are constantly shifting not only as a result of new settlers arriving with varying levels of qualifications and with different ethnic origins but also through internal migration between the States and Territories as well as within cities, towns and regions of Australia.
Settlement patterns of migrants, particularly more recent ones, obviously have important implications for provision and delivery of infrastructure and services which are of paramount importance not only for migrants but also for the communities in which they live. Analysing statistics at the State and Territory level do not permit appreciation of major distinctions at the local level of suburb or town. Thus it is not possible to identify those smaller geographic areas which are reaping the benefits and/or suffering from resultant costs that are flow-on effects of migration policies. This is an area which requires further analysis and consideration when databases with results with 2006 Census results are being constructed.
Satisfaction with aspects of daily living affects quality of life and thus impacts upon the social wellbeing of individuals and the communities in which they reside. Development of rapport not only between migrants and the host community but also inter- and intra-migrant group connectivity is influenced and facilitated by a number of factors including, for example, compatibility of language, workplace experiences, and qualifications. These elements of human capital and their social impact are explored in the next chapter through an examination of the literature and relevant data.
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